33 citations · 40 across the 3 of their papers we have counts for
4 papers
Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries
Hamed Vahdat-Nejad, Mohammad Ghasem Akbari, Fatemeh Salmani +2
With Twitter's growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social,…
Extracting Feelings of People Regarding COVID-19 by Social Network Mining
Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi +5
In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks. Each day, users post millions of tweets and comments on this subject,…
Extracting Major Topics of COVID-19 Related Tweets
Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi +1
With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased. Some studies have investigated the hot topics of tweets in this period; howev…
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset
Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi +3
Coronary heart disease (CAD) is one of the crucial reasons for cardiovascular mortality in middle-aged people worldwide. The most typical tool is angiography for diagnosing CAD. Th…